Modulbeschreibung

Expertise - the participants can:

• understand the improvement potential of a Smart Factory production system compared to a traditional production set up
• understand the importance and connection of data throughout the company to improve production process applying digital technologies
• use certain digital technologies such as simulation, data analysis and machine learning techniques to analyze, evaluate and improve production processes

Methodological Skills - the participants can:

• identify relevant use case for a Smart Factory
• apply Smart Factory technologies to address the relevant use case
• implement a Smart Factory and know how to drive the change process

Social Skills - the participants can:

• Realistically plan work-sharing tasks in complex case studies in a team and solve conflicts in individual deviations in a team

Fundamental knowledge of production management
Fundamental knowledge of probability theory
Solid command of the English language, as the lectures are held in English

1. Concept & Implementation Approach for a Smart Factory
2. Data integrity & availability through CAD - PLM - ERP – MES – Machine Controls – sensors – digital twin ("understand through touch & feel")
3. Digital Technologies for a Smart Factory
4. Simulation of production processes
5. Learning from Data (Machine Learning) for a Smart Factory

1. Understand what is a Smart Factory
2. Data integrity & availability through CAD - PLM - ERP – MES – Machine Controls – sensors – digital twin
3. Digital Technologies for a Smart Factory
4. Simulation of production processes
   1.        Production process deep understanding
   2.        Data collection and analysis – implementation approach for simulation
   3.        Simulation result analysis, process optimization
5. Learning from Data (Machine Learning)
   1.        Supervised learning
   2.        Unsupervised learning
   3.        Reinforcement learning
6. Outlook of Smart Factory for CH to generate long term cost advantage